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forestr: Ecosystem and Canopy Structural Complexity Metrics from LiDAR

Provides a toolkit for calculating forest and canopy structural complexity metrics from terrestrial LiDAR (light detection and ranging). References: Atkins et al. 2018 <doi:10.1111/2041-210X.13061>; Hardiman et al. 2013 <doi:10.3390/f4030537>; Parker et al. 2004 <doi:10.1111/j.0021-8901.2004.00925.x>.

Version: 2.0.2
Depends: R (≥ 3.1.2)
Imports: ggplot2, plyr, dplyr, stats, tools, viridis, tidyr, moments, tibble
Suggests: knitr, rmarkdown
Published: 2020-04-14
DOI: 10.32614/CRAN.package.forestr
Author: Jeff Atkins [aut, cre], Gil Bohrer [aut], Robert Fahey [aut], Brady Hardiman [aut], Chrisopher Gough [aut], Timothy Morin [aut], Atticus Stovall [aut], Naupaka Zimmerman [ctb, aut], Chris Black [ctb]
Maintainer: Jeff Atkins <jwatkins6 at vcu.edu>
License: GPL-3
URL: https://github.com/atkinsjeff/forestr
NeedsCompilation: no
CRAN checks: forestr results

Documentation:

Reference manual: forestr.pdf

Downloads:

Package source: forestr_2.0.2.tar.gz
Windows binaries: r-devel: forestr_2.0.2.zip, r-release: forestr_2.0.2.zip, r-oldrel: forestr_2.0.2.zip
macOS binaries: r-release (arm64): forestr_2.0.2.tgz, r-oldrel (arm64): forestr_2.0.2.tgz, r-release (x86_64): forestr_2.0.2.tgz, r-oldrel (x86_64): forestr_2.0.2.tgz
Old sources: forestr archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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